▷ Immediate Start Data Architect

Role Overview:

We are seeking a highly skilled Data Architect - GCP with 6–8 years of experience in designing, developing, and managing enterprise data solutions on Google Cloud Platform (GCP). The ideal candidate will have a strong background in cloud data architecture, data warehousing, big data processing, and data integration, with proven expertise in delivering scalable, secure, and efficient data platforms.

Key Responsibilities:

- Design and architect end-to-end data solutions on GCP, aligning with business and technical requirements.
- Define data models, storage strategies, data ingestion, processing, and consumption frameworks.
- Implement data lakes, data warehouses, and data marts using services like BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Composer.
- Collaborate with business stakeholders, data scientists, and engineering teams to understand data needs and translate them into scalable architectures.
- Design and implement data governance, security, and compliance frameworks for cloud-based data platforms.
- Optimize data workflows, query performance, and storage costs in the GCP environment.
- Lead data migration and modernization initiatives from on-premise or other cloud platforms to GCP.
- Stay updated with GCP services, features, and industry best practices to recommend improvements and innovation.
- Provide technical leadership and mentoring to data engineering teams.

Required Skills and Qualification:

- Educational Background:
- Bachelor’s degree in Computer Science, Software Engineering, or a related field.
- Experience:
- 6–8 years of experience in data architecture and engineering roles, with at least 3 years hands-on on GCP.
- Strong expertise in GCP data services: BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage, Cloud Composer, Data Catalog.
- Proficient in data modeling, data warehousing concepts, ETL/ELT pipelines, and big data processing frameworks.
- Experience with SQL, Python, and Terraform (preferred) for infrastructure as code.
- Hands-on experience in data security, encryption, access control, and governance on GCP.
- Experience in integrating with real-time data pipelines and event-driven architectures.
- Strong understanding of DevOps, CI/CD pipelines for data workflows, and cloud cost optimization.
- GCP Professional Data Engineer / Cloud Architect certification is a plus.
- Soft Skills:
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Ability to work independently and within a team in an Agile/Scrum environment.

Traits we are looking for:

- Curiosity-driven: Passionate about exploring new tools, technologies, and methods to solve problems creatively.
- Problem-Solver: Thrives on identifying and fixing complex issues, with a natural inclination for troubleshooting.
- Self-starter: Takes initiative, requires minimal supervision, and demonstrates ownership of tasks from start to finish.
- Innovative Mindset: Enjoys experimenting with different approaches and is not afraid to break things to learn.
- Continuous Learner: Actively seeks to expand their knowledge through reading, online courses, and experimenting with side projects.
- Adaptability: Quick to adjust to new technologies, tools, or changes in requirements.
- Detail-Oriented: Pays attention to both the big picture and the small details, ensuring quality in execution.

Good To Have:

- Exposure to AI/ML workflows, data preparation for ML models.
- Experience with third-party tools like Apache Airflow, Looker, or Dataplex.
- Knowledge of other cloud platforms (AWS, Azure) for hybrid/multi-cloud strategies.

What We Offer:

- Competitive salary and benefits package.
- Opportunity to work on cutting-edge security challenges.
- A collaborative and growth-oriented work environment with opportunities for career development.